{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:MMN2XVBURDNYJGJ7J5PVP36EYM","short_pith_number":"pith:MMN2XVBU","schema_version":"1.0","canonical_sha256":"631babd43488db84993f4f5f57efc4c322eca2f74df0c7c7c0231b035c989a14","source":{"kind":"arxiv","id":"2505.02365","version":2},"attestation_state":"computed","paper":{"title":"Quaternion Sparse Decomposition for Multi-focus Color Image Fusion","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Weihua Yang, Yicong Zhou","submitted_at":"2025-05-05T05:08:33Z","abstract_excerpt":"Multi-focus color image fusion refers to integrating multiple partially focused color images to create a single all-in-focus color image. However, existing methods struggle with complex real-world scenarios due to limitations in handling color information and intricate textures. To address these challenges, this paper proposes a quaternion multi-focus color image fusion framework to perform high-quality color image fusion completely in the quaternion domain. This framework introduces 1) a quaternion sparse decomposition model to jointly learn fine-scale image details and structure information "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2505.02365","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-05T05:08:33Z","cross_cats_sorted":[],"title_canon_sha256":"7bdaac2edd538dadef030cbfe3c32c161dfb612e6b554b81af0171c930f2dc1d","abstract_canon_sha256":"5dabda5f49b895e61e54f7e4f2d50b1c3ae41525e37d1719aa8cb297d97be654"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:49:09.753943Z","signature_b64":"Fbv3yYyiT/O0HZa1XxMuNV2h8ihvZ7TQgnIlrWXuQ40C9i8GAc471aT9BzCoATdO2Jlz8N2xoiXdRhtCzkKmCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"631babd43488db84993f4f5f57efc4c322eca2f74df0c7c7c0231b035c989a14","last_reissued_at":"2026-07-05T11:49:09.753486Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:49:09.753486Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Quaternion Sparse Decomposition for Multi-focus Color Image Fusion","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Weihua Yang, Yicong Zhou","submitted_at":"2025-05-05T05:08:33Z","abstract_excerpt":"Multi-focus color image fusion refers to integrating multiple partially focused color images to create a single all-in-focus color image. However, existing methods struggle with complex real-world scenarios due to limitations in handling color information and intricate textures. To address these challenges, this paper proposes a quaternion multi-focus color image fusion framework to perform high-quality color image fusion completely in the quaternion domain. This framework introduces 1) a quaternion sparse decomposition model to jointly learn fine-scale image details and structure information "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.02365","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2505.02365/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2505.02365","created_at":"2026-07-05T11:49:09.753543+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.02365v2","created_at":"2026-07-05T11:49:09.753543+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.02365","created_at":"2026-07-05T11:49:09.753543+00:00"},{"alias_kind":"pith_short_12","alias_value":"MMN2XVBURDNY","created_at":"2026-07-05T11:49:09.753543+00:00"},{"alias_kind":"pith_short_16","alias_value":"MMN2XVBURDNYJGJ7","created_at":"2026-07-05T11:49:09.753543+00:00"},{"alias_kind":"pith_short_8","alias_value":"MMN2XVBU","created_at":"2026-07-05T11:49:09.753543+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/MMN2XVBURDNYJGJ7J5PVP36EYM","json":"https://pith.science/pith/MMN2XVBURDNYJGJ7J5PVP36EYM.json","graph_json":"https://pith.science/api/pith-number/MMN2XVBURDNYJGJ7J5PVP36EYM/graph.json","events_json":"https://pith.science/api/pith-number/MMN2XVBURDNYJGJ7J5PVP36EYM/events.json","paper":"https://pith.science/paper/MMN2XVBU"},"agent_actions":{"view_html":"https://pith.science/pith/MMN2XVBURDNYJGJ7J5PVP36EYM","download_json":"https://pith.science/pith/MMN2XVBURDNYJGJ7J5PVP36EYM.json","view_paper":"https://pith.science/paper/MMN2XVBU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.02365&json=true","fetch_graph":"https://pith.science/api/pith-number/MMN2XVBURDNYJGJ7J5PVP36EYM/graph.json","fetch_events":"https://pith.science/api/pith-number/MMN2XVBURDNYJGJ7J5PVP36EYM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MMN2XVBURDNYJGJ7J5PVP36EYM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MMN2XVBURDNYJGJ7J5PVP36EYM/action/storage_attestation","attest_author":"https://pith.science/pith/MMN2XVBURDNYJGJ7J5PVP36EYM/action/author_attestation","sign_citation":"https://pith.science/pith/MMN2XVBURDNYJGJ7J5PVP36EYM/action/citation_signature","submit_replication":"https://pith.science/pith/MMN2XVBURDNYJGJ7J5PVP36EYM/action/replication_record"}},"created_at":"2026-07-05T11:49:09.753543+00:00","updated_at":"2026-07-05T11:49:09.753543+00:00"}